Client: Global electric vehicle (EV) parts manufacturer
Service: IT Project Development (Web + IoT Integration Platform)

Background

The client wanted to digitize and unify diagnostics for EV parts manufactured across three plants and used in 10+ OEM vehicles. Lack of centralized data made it difficult to predict part failures or issue recalls efficiently.

Our Approach

Teraluna developed a custom web and IoT platform that aggregates diagnostic data in real-time from vehicle ECUs and internal sensors.

Key Steps

1. Requirements Engineering: Collaborated with plant managers, OEM partners & QA teams.

2. Architecture Design: Built a scalable Node.js + MongoDB backend with RESTful APIs and MQTT for IoT data ingestion.

3. Edge + Cloud Integration: Used AWS IoT Core for secure telemetry transmission from vehicles.

4. Smart Analytics: Integrated PowerBI dashboards for predictive maintenance & recall forecasting.

Impact

• Manufacturing defect traceability improved by 88%

• Predictive maintenance alerts reduced warranty claims by 21%

• Time to detect failure-prone components dropped from 18 days to 4 hours

• Integrated across 12,000+ devices and vehicles within 14 months